Abstract: A sensing device includes one or more sensors that acquire time series data, a memory data recording unit that temporarily records the time series data in a memory, a first data output unit that outputs the time series data in real time, a second data output unit that outputs the time series data at an arbitrary timing of a user, and a power supply control unit that controls start and stop of a power supply of a device, in which the power supply control unit stops the power supply of the device after transmission of the time series data by the second data output unit.

Abstract: A learning device includes a learning unit that sets, as a myocardial activity parameter set, a set of parameters representing an approximate function when a waveform in a time section included in a waveform for one cycle indicating a cardiac cycle of a heart is approximated by an approximate function including a difference or a weighted difference of a cumulative distribution function, and performs learning of an estimation model that obtains heart state information that is information representing a state of a heart corresponding to the myocardial activity parameter with a myocardial activity parameter set as an input, by using a learning data set, in which the learning data set includes a plurality of (Y) pieces of learning data, and each of the plurality of (Y) pieces of learning data includes a myocardial activity parameter set of a heart that is a target of y-th learning data, and heart state information that is information representing a state of the heart that is a target of the y-th learning data, wh

Abstract: An aspect of the present invention is a condition analysis device including an acquisition unit that acquires rank information obtained by ranking a degree of self-support or magnitude of disorder of a patient and biometric information of the patient, a derivation unit that derives, for each rank, range information indicating a range in which the biometric information is distributed, and a superimposition display unit that displays the range information as an image for each rank, and superimposes and displays a predetermined image on the image at a position corresponding to the biometric information of one patient in a range indicated by the image.

Abstract: The present biological electrode includes a conductive fabric (2) formed of base fibers which are filled with a conductor and/or to which the conductor is adhered, a thin metallic wire (3) formed into a spiral shape and connected with the conductive fabric (2) at a distal end of the thin metallic wire, and a filling material (5) with which a gap between the conductive fabric (2) and the thin metallic wire (3) is filled and which supports the conductive fabric (2) and the thin metallic wire (3), the conductive fabric (2) is supported in a roll shape, and the conductor is electrically connected with the thin metallic wire (3).

Abstract: An apparatus for movement (10) includes a main frame (20) and a front frame (40) detachably attached to the main frame (20). The main frame (20) includes a seat face (23) which has a hole opened in a vertical direction (Z) and on which a user (U) sits, and includes a truck (21) arranged below the seat face (23) and opened backward. The front frame (40) includes a front leaning part (41) which is disposed above and forward of the main frame (20) and against which a user (U) sitting on the seat face (23) leans.

Abstract: The present biological electrode includes a conductive fabric (2) formed of base fibers which are filled with a conductor and/or to which the conductor is adhered, a thin metallic wire (3) formed into a spiral shape and covered with the conductive fabric (2) from a side of a distal end in an axis direction, and a filling material (5) with which a gap between the conductive fabric (2) and the thin metallic wire (3) is filled and which supports the conductive fabric (2) and the thin metallic wire (3), and the conductor is electrically connected with the thin metallic wire (3).

Abstract: An electromyography processing apparatus includes an electromyography acquiring unit configured to generate electromyography data indicating the time course of an electromyography acquired from an electrode set on a predetermined muscle of an exerciser performing a repetitive exercise, and an evaluation unit configured to calculate and output a reproducibility index indicating the reproducibility of the repetitive exercise from the reproducibility of a transition of the electromyography in the repetitive exercise.

Abstract: An elastic wiring includes: an elastic tube; a conductor wire arranged within the tube; and fixing portions that fix the conductor wire and the tube at both ends of the tube in the lengthwise direction, wherein the length of the conductor wire between the fixing portions when the tube is in an unextended state is longer than the length of the tube between the fixing portions.

Abstract: A flexible device (1) includes an insulating substrate (2), a source electrode (3), a drain electrode (4), and an extended gate electrode (5) formed on a surface of the insulating substrate (2) at intervals, a channel (6) arranged at an interval between the source electrode (3) and the drain electrode (4), and a gate dielectric (7) formed so as to cover all of the channel (6) and a part of the extended gate electrode (5), in which the insulating substrate (2) is a flexible thin film having light transmissivity, the extended gate electrode (5) is a carbon material thin film having biocompatibility and light transmissivity, the channel (6) is an organic semiconductor thin film, and the gate dielectric (7) is an ionic liquid or an ionic gel.

Abstract: A position measurement method includes a step of acquiring an image of the surroundings at a self-position, a step of detecting an area in which a circular shape appears in the image, and a step of measuring the self-position based on the aspect ratio of the area.

Abstract: An elastic wiring includes: an elastic tube; a conductor wire arranged within the tube; and fixing portions that fix the conductor wire and the tube at both ends of the tube in the lengthwise direction, wherein the length of the conductor wire between the fixing portions when the tube is in an unextended state is longer than the length of the tube between the fixing portions.

Abstract: An elastic wiring includes: an elastic tube; a conductor wire arranged within the tube; and fixing portions that fix the conductor wire and the tube at both ends of the tube in the lengthwise direction, wherein the length of the conductor wire between the fixing portions when the tube is in an unextended state is longer than the length of the tube between the fixing portions.

Abstract: An electromyography processing apparatus comprises a storage device that stores the electromyography data of the predetermined muscle; and an onset detection unit configured to determine that a portion is an onset portion based on the electromyography of a sliding window for onset detection and a threshold value; wherein the onset detection unit further comprises a threshold value determination unit configured to determine the threshold value based on the electromyography of a sliding window for threshold value detection.

Abstract: A state estimation device includes an information acquisition unit acquiring at least one of (i) electrode acquisition information indicating an electromagnetic time series that is a time series of an electromagnetic quantity that is an electromagnetic force, field, or energy applied to an electrode from which a signal indicating a state of a heart of an estimation target is acquirable or (ii) environment information that is information on a time series of an environmental quantity that is an amount related to one or both of a state of motion of the estimation target and an environment in which the estimation target is present; and an estimation unit using at least one of the electrode acquisition information or the environment information to determine whether an electrode event, which is an abnormality in acquisition of a signal indicating the state of the heart of the estimation target by the electrode, has occurred.

Abstract: An apparatus for movement (10) includes a main frame (20) and a front frame (40) detachably attached to the main frame (20). The main frame (20) includes a seat face (23) which has a hole opened in a vertical direction (Z) and on which a user (U) sits, and includes a truck (21) arranged below the seat face (23) and opened backward. The front frame (40) includes a front leaning part (41) which is disposed above and forward of the main frame (20) and against which a user (U) sitting on the seat face (23) leans.

Abstract: A composite wiring includes: elastic wiring comprising an elastic tube, a conductor wire disposed inside the tube, and fixing portions that fix the conductor wire and the tube together at both ends of the tube in the lengthwise direction thereof, the length of the conductor wire between the fixing portions when the tube is in an unextended state being longer than the length of the tube between the fixing portions; other wiring separate from the elastic wiring; and a connection member that connects the conductor wire of the elastic wiring and a conductor wire of the other wiring by caulking in a state of being brought into contact with each other, the connection member having an interior section sealed in a watertight manner with a sealing material.

Abstract: An electromotive force estimation method includes steps of: dividing a time series of an electrocardiographic potential to be estimated in a time series of an electromotive force into unit electrocardiographic potential time series such that time series representing electrocardiographic potentials generated by one pulsation of a myocardium are separated from each other; acquiring, for each unit electrocardiographic potential time series, a depolarization electrocardiographic potential time series that is a set of data belonging to a depolarization period, a refractory electrocardiographic potential time series that is a set of data belonging to a refractory period, and a repolarization electrocardiographic potential time series that is a set of data belonging to a repolarization period; estimating a depolarization electromotive force time series indicating an electromotive force at each time point in the depolarization period based on the depolarization electrocardiographic potential time series; estimating a

Abstract: A wearable device attached to a subject includes an accelerometer that measures acceleration information, and a biological sensor that measures biological signal information of the subject. From the measured acceleration information and biological signal information, first feature data corresponding to a first predetermined period and second feature data corresponding to a second predetermined period are extracted. By machine learning based on the first feature data, a dynamic/static activity identification model, a dynamic-activity identification model, and a static-activity identification model, for the subject, are generated. By combination of results of determination based on each of the identification models, a posture and an activity of the subject are identified and correspondence information, which associates the identified posture and activity with the biological signal information of the subject, is generated.

Abstract: An elastic wiring includes: an elastic tube; a conductor wire arranged within the tube; and fixing portions that fix the conductor wire and the tube at both ends of the tube in the lengthwise direction, wherein the length of the conductor wire between the fixing portions when the tube is in an unextended state is longer than the length of the tube between the fixing portions.

Abstract: An aspect of the present invention is a state estimation device including a cardiac state time series acquisition unit that acquires a cardiac state time series that is a time series of a cardiac state quantity that is a quantity indicating a state of a heart as an estimation target, and a cardiac state estimation unit that estimates a state of the heart as the estimation target based on an occurrence time of out-of-range data, using, as the out-of-range data, a non-responsive period sample whose value is outside a threshold region of processing determined according to a distribution of the non-responsive period sample among non-responsive period samples that are non-responsive period samples among samples of the cardiac state time series acquired by the cardiac state time series acquisition unit.